Senior Software Engineer, Data Platform – Autonomous Vehicles

General Motors

. Own and improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling, and replay .

Posted 10/15/2026full-timeUnited StatesSenior💰 $153,200 - $269,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and supporting large-scale data platforms, with a strong focus on deploying high-performance services in cloud environments. Proven ability to lead technical projects, mentor engineers, and drive operational excellence through effective SLO/SLI management.

Highest-signal resume keywords

Expert-Level Proficiency In JavaExpert-Level Proficiency In C++Expert-Level Proficiency In GoExpert-Level Proficiency In PythonExperience With Azure, GCP, Or AWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Building Large-Scale Data PlatformsDeploying High-Performance ServicesDesigning Distributed SystemsOptimizing Services For Cost EfficiencyManaging Full Operational Lifecycle Of Systems

Soft Skills

Leadership In Incident And Support ResponseMentoring Junior EngineersCollaboration With ML And Data Engineers

Tools & Technologies

Automation ToolsObservability Tools

Industry Keywords

Autonomy Data PlatformSLO/SLI Definition And MeasurementTechnical Project DeliveryMulti-Language Hosted Services Architecture

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaPythonC++Go

About the role

Key responsibilities & impact

Own and improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling, and replay
Champion operational excellence via SLO/SLI definition and measurement, including leadership in incident and support response
Collaborate with ML and Data Engineers to translate needs and pain points into requirements, build self-serve capabilities, and drive adoption
Deliver end-to-end technical projects, owning major technical decisions and tradeoffs and contributing to the team’s strategic roadmap
Participate in team planning, code reviews, and design discussions
Conduct technical interviews, onboard new engineers, and mentor junior engineers

Requirements

What you’ll need

BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field
5+ years in building and supporting large-scale data platforms, including deployment of high-performance services supporting Petabytes of weekly data serving
Expert-level proficiency in Java, C++, Go, or Python, with a proven track record of designing and implementing robust, distributed systems
Expertise in deploying and managing services in at least one major public cloud provider: Azure, GCP, or AWS, utilizing automation and observability for operational excellence
Experience optimizing services for cost efficiency, performance, and reliability
Experience with multi-language hosted services architecture and ability to manage the full operational lifecycle of systems
GM does not provide immigration-related sponsorship for this role; applicants must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Bonus potential based on company performance, job level, and individual performance
Medical insurance
Dental insurance
Vision insurance
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Relocation benefits for candidates who qualify under company policy